Comments (4)
Hello,
We are developing a new library with several models, including NBEATSx, in another repository: https://github.com/Nixtla/nixtlats
Please refer to the documentation (https://nixtla.github.io/nixtlats/) for usage examples.
from nbeatsx.
Did you succeed in your attempt? I also want to do this recently. There are too many changes to change the dataset code.@georgeblck
from nbeatsx.
Hi,
I never got around to trying the nixtla package because I've been having good success with another top forecasting method/package (TFT from the pytorch forecasting package)
However, I have some time right now and I'm still interested in trying out NBEATSx at least once. If I succeed in writing up an example I will mention it here
from nbeatsx.
Thank you for your reply. Unfortunately, I also used TFT before, but the prediction effect is not very good. The final result is a straight line. I may have made a mistake. I'll try again. By the way, I wish you all the best.
from nbeatsx.
Related Issues (16)
- [Question] SELU weights and dropout HOT 1
- [Question] dropout_prob_exogenous
- Number of stacks confusion HOT 4
- Number of stacks confusion
- Forecasting with long output dimension HOT 1
- Hyperparameter files HOT 5
- Any advice, please. HOT 1
- FCNN realization doesn't take exogenous variables as arguments HOT 2
- nothing
- n_val_weeks in the paper and code do not match HOT 3
- `run_test_nbeatsx` confusion HOT 2
- Missing import statements in nbeats.py HOT 1
- insample_mask and outsample_mask HOT 1
- Can NbeatsX be used for multiple-variate datasets?
- datasets of nbeatsx can not download HOT 2
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from nbeatsx.